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393 results for “Central area”
FIGURES 6–9 in Orthoptera Tettigoniidae (Conocephalinae, Hexacentrinae, Phaneropterinae Mecopodinae, Hetrodinae) from some protected areas of Central African Republic
FIGURES 6–9. Other characters of Conocephalus (Anisoptera) iris. Lateral view of last abdominal tergites and sternites (6), subgenital plate of the female (7), dorsal view of male (8) and female (9) tegmina.
FIGURES 21–26a. Eurycoplangiodes sanghaensis Massa n. gen. n in Orthoptera Tettigoniidae (Conocephalinae, Hexacentrinae, Phaneropterinae Mecopodinae, Hetrodinae) from some protected areas of Central African Republic
FIGURES 21–26a. Eurycoplangiodes sanghaensis Massa n. gen. n. sp., male: habitus in lateral view (21), dorsal view of stridulatory area (22), frontal view of the head (23), lateral view of head and pronotum (24), stridulatory file (25), dorsal view of last tergites (26), subgenital plate (26a).
FIGURES 2–5 in Orthoptera Tettigoniidae (Conocephalinae, Hexacentrinae, Phaneropterinae Mecopodinae, Hetrodinae) from some protected areas of Central African Republic
FIGURES 2–5. Main characters of Conocephalus (Anisoptera) iris. Lateral view of the male (2) and female (3), dorsal (4) and ventral view (5) of cerci.
FIGURES 10–20 in Orthoptera Tettigoniidae (Conocephalinae, Hexacentrinae, Phaneropterinae Mecopodinae, Hetrodinae) from some protected areas of Central African Republic
FIGURES 10–20. Stridulatory file below the left tegmen of Corycomima camerata (10); 11–14. Eulioptera spinulosa, male: habitus in lateral view (11), dorsal view (12) and lateral view (13) of last tergites, subgenital plate (14); 15–20. Paraeulioptera emitflesti Massa, n. gen. n. sp., male: habitus in lateral view (15), dorsal view of stridulatory area (16), fore femur and tibia (17), dorsal view of cerci (18), stridulatory file (19), lateral view of head and pronotum (20).
FIGURE 1 in Orthoptera Tettigoniidae (Conocephalinae, Hexacentrinae, Phaneropterinae Mecopodinae, Hetrodinae) from some protected areas of Central African Republic
FIGURE 1. Situation in Africa of the different protected areas and places cited; Dzanga-Ndoki National Park, Dzanga-Sangha Special Reserve and N'Gotto Classified Forest.
Data from: Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America
Evaluating range-wide habitat use by a target species requires information on species occurrence over broad geographic regions, a process made difficult by species rarity, large spatiotemporal sampling domains, and imperfect detection. We address these challenges in an assessment of habitat use for jaguars (Panthera onca) outside protected areas in Central America. Occurrence records were acquired within 12 putative corridors using interviews with knowledgeable corridor residents. We developed a Bayesian hierarchical occupancy model to gain robust inference, allowing for heterogeneity introduced in the sampling process over space and time, using records of jaguar occurrence prone to false positives and false negatives. Probability of false detection of jaguars increased with the number of interviews conducted per unit (from 5.42% to 7.74% given <4 and ≥4 observers per unit). True probability of detection (mean=0.58) increased with the number of days interviewees spent in a survey unit per year. Failing to account for false positives biased predicted habitat use high (˜1.8x), especially where occurrence records were sparse. Probability of site use by jaguars increased with greater forest cover, prey richness, and distance from human settlements, and decreased with greater agricultural cover, elevation, and distance from protected areas. Site use probabilities averaged 0.15-0.97 by corridor, providing relatively fine-scale resolution of predicted jaguar occurrence consistent with known patterns of jaguar gene flow across Central America. Model validation, accounting for both false positives and negatives in the observation process, indicated moderate correspondence between model-predicted observations and actual observations for withheld data (0.65, 95% CRI 0.59–0.71), with sensitivity and specificity rates of 0.69 (0.61 – 0.77) and 0.59 (0.50 – 0.68), respectively. These results demonstrate that reliable predictions can be achieved despite the complexity of large-scale, interview-based analyses of species occurrence. Synthesis and applications. Our Bayesian hierarchical occupancy model accommodated heterogeneity caused by typical sampling inequities and idiosyncrasies associated with interview data, yielding robust estimates of jaguar habitat use. Our approach is applicable to any wide-ranging and readily identifiable species and has particular utility for rare species in human-dominated landscapes where traditional survey techniques (e.g., camera traps) may be impractical.
Data from: Benefits and challenges of scaling up expansion of marine protected area networks in the Verde Island Passage, Central Philippines
Locally-established marine protected areas (MPAs) have been proven to achieve local-scale fisheries and conservation objectives. However, since many of these MPAs were not designed to form ecologically-connected networks, their contributions to broader-scale goals such as complementarity and connectivity can be limited. In contrast, integrated networks of MPAs designed with systematic conservation planning are assumed to be more effective—ecologically, socially, and economically—than collections of locally-established MPAs. There is, however, little empirical evidence that clearly demonstrates the supposed advantages of systematic MPA networks. A key reason is the poor record of implementation of systematic plans attributable to lack of local buy-in. An intermediate scenario for the expansion of MPAs is scaling up of local decisions, whereby locally-driven MPA initiatives are coordinated through collaborative partnerships among local governments and their communities. Coordination has the potential to extend the benefits of individual MPAs and perhaps to approach the potential benefits offered by systematic MPA networks. We evaluated the benefits of scaling up local MPAs to form networks by simulating seven expansion scenarios for MPAs in the Verde Island Passage, central Philippines. The scenarios were: uncoordinated community-based establishment of MPAs; two scenarios reflecting different levels of coordinated MPA expansion through collaborative partnerships; and four scenarios guided by systematic conservation planning with different contexts for governance. For each scenario, we measured benefits through time in terms of achievement of objectives for representation of marine habitats. We found that: in any governance context, systematic networks were more efficient than non-systematic ones; systematic networks were more efficient in broader governance contexts; and, contrary to expectations but with caveats, the uncoordinated scenario was slightly more efficient than the coordinated scenarios. Overall, however, coordinated MPA networks have the potential to be more efficient than the uncoordinated ones, especially when coordinated planning uses systematic methods.
FIGURE 10 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 10. Neighbor joining gene tree of 850 bp of the 16S mtDNA gene. Numbers on branches indicate bootstrap support. Clades are labeled according to their general distribution (see main text for details). Type specimens of Hyalinobatrachium carlesvilai sp. nov. are in bold.
FIGURE 9 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 9. Bayesian majority rule consensus gene tree of 850 bp of the 16S mtDNA gene. Numbers on branches indicate Bayesian posterior probabilities and bootstrap support of the Maximum Parsimony analysis respectively. Clades are labeled according to their general distribution (see main text for details). Type specimens of Hyalinobatrachium carlesvilai sp. nov. are in bold.
FIGURE 8 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 8. Audiospectogram and oscillograms (top and down, respectively) of the advertisement calls of (A) Hyalinobatrachium bergeri, MHNCP 5394; (B) H. bergeri sensu Márquez et al. (1996) and De la Riva (2002), without voucher; and (C, D) H. carlesvilai sp. nov., holotype.
FIGURE 7. Calling male, paratype MNCN 43690 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 7. Calling male, paratype MNCN 43690 (A) and gravid female, paratype MHNCP 5344 (B) of Hyalinobatrachium carlesvilai sp. nov. Both were found in the same leaf together with an egg clutch not collected (C). Egg clutch, MNCN/ADN 8999, collected in the same leaf than the holotype (D).
FIGURE 6 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 6. Map showing the type localities of Hyalinobatrachium species from the eastern slopes of the Andes of Ecuador, Peru and Bolivia and the new locality of H. pellucidum in Peru. The star marks the localities of the holotype of H. carlesvilai sp. nov. 1 = Santa Cecilia; 2 = Río Azuela; 3 = Abra Tangarana; 4 = Cueva de los Guácharos; 5 = Parque Nacional Tingo María; 6 = Río Kimbiri; 7 = Quincemil; 8 = Santa Rosa and San Juan del Oro; 9 = Paractito-los Guácharos; 10 = 58.1 km SW Villa Tunari; 11 = Río Leche.
FIGURE 5 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 5. Habitat of Hyalinobatrachium carlesvilai sp. nov. in Peru. Quincemil, Cusco (left and bottom right); between Santa Rosa and San Juan del Oro, Puno (top right).
FIGURE 4 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 4. Hyalinobatrachium pellucidum, holotype (A) (photo Natural History Museum, University of Kansas); Hyalinobatrachium munozorum, holotype (B) (photo Natural History Museum, University of Kansas); Hyalinobatrachium pellucidum, adult male, MHNCP 4880 (C) (photo JMP); Hyalinobatrachium pellucidum, holotype of H. lemur (D) (photo Natural History Museum, University of Kansas).
FIGURE 3 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 3. Irises of Hyalinobatrachium carlesvilai sp. nov. paratype MNCN 44213 (A) (photo JMP); H. pellucidum MHNCP 4880, adult male (B) (photo JMP); H. bergeri MHNCP 5713, gravid female (C) (photo JMP) and (D) (photo IDLR).
FIGURE 2 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 2. Details of the foot (A), hand (B), and head (C) of Hyalinobatrachium carlesvilai sp. nov. paratype MNCN 43691 (photos SCF). 1 = enameled tarsal fold; 2 = nuptial glands; 3 = enameled tarsal fold.
FIGURE 1 in A new species of Hyalinobatrachium (Anura: Centrolenidae) from the Amazonian slopes of the central Andes, with comments on the diversity of the genus in the area
FIGURE 1. Hyalinobatrachium carlesvilai sp. nov. (A) paratype MNCN 44213 (photo JMP); (B) paratype MHNCP 5434 (photo JCC); (C) CET (adult male, specimen not yet catalogued, photo J. Ayarzagüena).
FIGURE 4 in A new species of Sibon (Squamata: Colubroidea: Dipsadidae) from the Cordillera Central of western Panama, with comments on other species of the genus in the area
FIGURE 4. Collection localities of Sibon noalamina (squares, hollow symbol represents type locality), S. annulatus (upright triangles), S. longifrenis (pentagon), S. nebulatus (inverted triangles), and S. perissostichon (diamond), as well as protected areas (hatched) in western Panama. One symbol may represent several specimens from different localities close to each other. At the localities for S. noalamina and S. perissostichon, the symbols of other species found at the same general locality are offset for better visibility.
FIGURE 5 in A new species of Sibon (Squamata: Colubroidea: Dipsadidae) from the Cordillera Central of western Panama, with comments on other species of the genus in the area
FIGURE 5. Snail-eaters collected in western Panama: (A) Sibon annulatus (La Fortuna, SMF 88715), (B) S. annulatus (Río Changena, SMF 91578), (C) S. longifrenis (Cerro Mariposa, SMF 91581), (D) S. nebulatus (La Fortuna, SMF 90209), (E) S. perissostichon (La Fortuna, SMF 88716), (F) and (G) Dipsas articulata (Cerro Negro, SMF 89952), (H) D. temporalis (Cerro Negro, SMF 89769).
FIGURE 3 in A new species of Sibon (Squamata: Colubroidea: Dipsadidae) from the Cordillera Central of western Panama, with comments on other species of the genus in the area
FIGURE 3. Hemipenis of Holotype (SMF 91539) of Sibon noalamina: (A) sulcate, (B) asulcate view. Scale bar equals 1 mm.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.